Instructions to use fluently/Fluently-epic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fluently/Fluently-epic with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fluently/Fluently-epic", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 73a29003ff54da5804511dd7e6be2a8f206186f7e01dd40010c21aef11e1c7ea
- Size of remote file:
- 2.13 GB
- SHA256:
- 0bc230839818a8ec00075e203bbd098d6f378acea357e81b70df054a2f550c8e
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